Projects

We propose a novel framework for connecting measured and analytic BRDFs, by separating a measured BRDF into diffuse and specular components. This enables measured BRDF editing, a compact measured BRDF model, and insights in relating measured and analytic BRDFs. We also design a robust analytic fitting algorithm for two-lobe materials.

We proposed a new BRDF gamut mapping algorithm using two-step optimization. We optimize the luminance with the guide of perceptual attributes in the first step, and optimize the ink coefficients using image comparison in the second step.

By modelling the similarity between different channels, we propose a new blind image deconvolution algorithm which transfers information from clear channel to blurry ones, and yield better results than state-of-the-art methods in both refractive and diffractive optical systems.